MiniMax M3
MiniMax M3 is a multimodal MoE model with a context window of one million tokens, focused on agentic workflows, coding, and tool use. Of 428 billion total parameters, only 23 billion are active per token; the model processes text, image, and video as input. Its Chinese origin requires a separate data privacy risk assessment when used via cloud.
- Open Weights
- Frontier
- OR
- Text
- Vision
- Video
- Interactive
Sovereign Risk: HIGH MiniMax is a Chinese company and subject to China’s National Security Law (NSL), which may enable state access to data. The model has been released as open weights, but remains high-risk from a sovereignty perspective when data or workflows are processed under Chinese jurisdiction.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 77.78
- Routine
- 47.7
- Reasoning
- 30.08
- LLM Judge Avg
- 3.95 / 5
- 100 Coverage
- Avg Task Duration
- 35.64s
- Interactive
- Token Rate
- 45.32tok/s
- Output Rate
- P95 Latency
- 117.39s
- Top 5 %
- Total Tokens
- 128800.00000000001
- Output Volume
- Cost per 1K
- $0.0012
- USD / 1K Requests
- Benchmark Cost
- $0.15
- Total · 128800.00000000001 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.